Triple

T16536116
Position Surface form Disambiguated ID Type / Status
Subject Ursynów E401694 entity
Predicate hasMetroStation P522 FINISHED
Object Natolin metro station E297193 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Natolin metro station | Statement: [Ursynów, hasMetroStation, Natolin metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natolin metro station
Context triple: [Ursynów, hasMetroStation, Natolin metro station]
  • A. Natolin metro station chosen
    Natolin metro station is an underground station on Line M1 of the Warsaw Metro serving the Natolin residential district in southern Warsaw.
  • B. Frunzenskaya metro station
    Frunzenskaya metro station is a Moscow Metro station on the Sokolnicheskaya Line, known for its deep-level construction and classic Soviet-era architectural design.
  • C. Shelepikha metro station
    Shelepikha metro station is a Moscow Metro station serving the Shelepikha area in the Presnensky District of central Moscow.
  • D. Taganskaya metro station
    Taganskaya metro station is a Moscow Metro station known for its ornate Stalinist-era architecture and role as a key interchange hub in the city’s transit network.
  • E. Borovitskaya metro station
    Borovitskaya metro station is a Moscow Metro station in the city center that serves as an important interchange point near the Kremlin and other major landmarks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34558ec448190a6dcc15d62d1889c completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006094dee481908757b84c10d0dc19 completed May 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:15 a.m.